分子力学
灰葡萄孢菌
分子动力学
琥珀酸脱氢酶
数量结构-活动关系
EC50型
化学
立体化学
对接(动物)
分子模型
生物测定
酶
计算生物学
生物化学
计算化学
生物
体外
植物
遗传学
医学
护理部
作者
Kun Li,Sang Hee Hong,Zhenwu Yu,Zeyu Hong,Yaru Sun,Jiagao Cheng,Liang‐Fu Tang,Yong Wang,Xin Qi,Zhijin Fan
标识
DOI:10.1021/acs.jafc.3c05232
摘要
Succinate dehydrogenase inhibitors (SDHIs) are a class of fungicides targeting the pathogenic fungi mitochondrial SDH. Here, molecular docking, three-dimensional quantitative structure–activity relationship (3D-QSAR), and molecular dynamics (MD) simulations were used to guide SDHI innovation. Molecular docking was performed to explore the binding modes of SDH and its inhibitors. 3D-QSAR models were carried out on 33 compounds with activity against Rhizoctonia cerealis (R. cerealis); their structure–activity relationships were analyzed using comparative molecular field analysis and comparative molecular similarity indices analysis. MD simulations were used to assess the stability of the complexes under physiological conditions, and the results were consistent with molecular docking. Binding free energy was calculated through the molecular mechanics generalized born surface area method, and the binding free energy was decomposed. The results are consistent with the activity of bioassay and indicate that van der Waals and lipophilic interactions contribute the most in the molecular binding process. Afterward, we designed and synthesized 12 compounds under the guidance of the above-mentioned analyses, bioassay found that F9 was active against R. cerealis with the EC50 value of 9.43 μg/mL, and F4, F5, and F9 were active against Botrytis cinerea with an EC50 values of 5.80, 3.17, and 1.63 μg/mL, respectively. They all showed good activity between positive controls of pydiflumetofen and thifluzamide. Our study provides new considerations for effective SDHIs discovery.
科研通智能强力驱动
Strongly Powered by AbleSci AI